✦ LIBER ✦

Prediction of the effect of varying cure conditions andw/cratio on the compressive strength of concrete using artificial neural networks

✍ Scribed by Hasbi Yaprak, Abdülkadir Karacı, İlhami Demir

Book ID: 118787418
Publisher: Springer-Verlag
Year: 2011
Tongue: English
Weight: 467 KB
Volume: 22
Category: Article
ISSN: 0941-0643
DOI: 10.1007/s00521-011-0671-x

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Predicting the compressive strength of g

Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network

✍ Cahit Bilim; Cengiz D. Atiş; Harun Tanyildizi; Okan Karahan 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 336 KB

Predicting the compressive strength of s

Predicting the compressive strength of steel fiber added lightweight concrete using neural network

✍ Fatih Altun; Özgür Kişi; Kamil Aydin 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 288 KB

Predicting the core compressive strength

Predicting the core compressive strength of self-compacting concrete (SCC) mixtures with mineral additives using artificial neural network

✍ Mucteba Uysal; Harun Tanyildizi 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 651 KB

Prediction of long-term effects of GGBFS

Prediction of long-term effects of GGBFS on compressive strength of concrete by artificial neural networks and fuzzy logic

✍ Mustafa Sarıdemir; İlker Bekir Topçu; Fatih Özcan; Metin Hakan Severcan 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 264 KB

In this study, artificial neural networks and fuzzy logic models for prediction of long-term effects of ground granulated blast furnace slag on compressive strength of concrete under wet curing conditions have been developed. For purpose of constructing these models, 44 different mixes with 284 expe

Prediction of the strength of mineral ad

Prediction of the strength of mineral admixture concrete using multivariable regression analysis and an artificial neural network

✍ U. Atici 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 448 KB

Predicting the effects of nanoparticles

Predicting the effects of nanoparticles on early age compressive strength of ash-based geopolymers by artificial neural networks

✍ Riahi, Shadi; Nazari, Ali 📂 Article 📅 2012 🏛 Springer-Verlag 🌐 English ⚖ 468 KB